Research on Enhancement Methods for Distributed Generation Carring Capacity in Distribution Networks Based on Active Regulation

WANG Bing; ZHOU Yan; ZHU Lili; ZHANG Jiangtao; JIA Mengqing; WANG Song; LI Jiang

doi:10.14044/j.1674-1757.pcrpc.2026.03.005

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Research on Enhancement Methods for Distributed Generation Carring Capacity in Distribution Networks Based on Active Regulation

POWER CAPACITOR & REACTIVE POWER COMPENSATION

Research on Enhancement Methods for Distributed Generation Carring Capacity in Distribution Networks Based on Active Regulation
基于主动调控的配电网分布式电源承载力提升方法研究
Luoyang Power Supply Company, State Grid Henan Electric Power Company, Henan Luoyang 471000, China
College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Vol. 47, Issue 3, Pages: 44-56(2026)
DOI：10.14044/j.1674-1757.pcrpc.2026.03.005
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WANG Bing, ZHOU Yan, ZHU Lili, et al. Research on Enhancement Methods for Distributed Generation Carring Capacity in Distribution Networks Based on Active Regulation[J]. Power Capacitor & Reactive Power Compensation, 2026, 47(3): 44-56.
DOI：

WANG Bing, ZHOU Yan, ZHU Lili, et al. Research on Enhancement Methods for Distributed Generation Carring Capacity in Distribution Networks Based on Active Regulation[J]. Power Capacitor & Reactive Power Compensation, 2026, 47(3): 44-56. DOI： 10.14044/j.1674-1757.pcrpc.2026.03.005.

摘要

随着分布式电源在配电网中渗透率日益增高及各种自动化技术不断发展，配电网的主动调控技术也日渐成熟。为了进一步增大分布式电源接入容量，文章提出一种基于无功补偿装置和逆变器协同主动调控的配电网分布式电源承载力提升方法。采用Weibull分布、Beta分布分别刻画风电、光伏出力的随机特性，结合蒙特卡洛模拟与K-means聚类生成典型源-荷场景；构建逆变器电压-无功下垂控制与无功补偿装置的九区图协同调控机制，实现就地快速响应与连续优化的互补配合；建立多目标机会约束规划模型，协同优化分布式电源的接入容量与系统运行成本，采用改进的NSGA-Ⅱ算法与信息熵模糊综合评价法筛选出最优规划方案。最后，对改进的IEEE 33节点配电网进行仿真，结果表明：所提协同调控方法可有效提高配电网对分布式电源的承载力，在故障场景下仍可有效弥补承载力损失；在规划分析中，可根据电网的实际情况确定机会约束条件的置信水平值，为新能源和配电网协同规划提供技术支撑。

Abstract

As the penetration rate of distributed generation in distribution networks continues to increase and various automation technologies keep evolving，the active regulation technology of distribution networks has also become increasingly mature. To further increase the carrying capacity of distributed generation，in this paper a method for enhancing the distributed generation carrying capacity in distribution networks based on coordinated active regulation of reactive power compensation devics and inverters is proposed. The Weibull and Beta distributions are adopted to respectively characterize the stochastic nature of wind and photovoltaic（PV）power outputs，and typical source-load scenarios are generated by combining Monte Carlo simulation with K-means clustering. A coordinated control mechanism integrating inverter voltage-reactive power（volt-var）droop control and a nine-zone diagram strategy for reactive power compensation devices is constructed so to achieve the complementary coordination of rapid local response and continuous optimization. Furthermore，a multi-objective chance-constrained programming model is set up to co-optimize the distributed generation carrying capacity and system operating costs. The Non-dominated Sorting Genetic Algorithm II（NSGA-Ⅱ）and an information entropy-based fuzzy comprehensive evaluation method are used to screen the optimal planning scheme. Finally，the modified IEEE 33-bus distribution system is simulated. The results show that the proposed coordinated regulation approach can effectively increase the distributed generation carrying capacity and successfully mitigate capacity loss even under fault conditions. In the planning analysis，the confidence level of the chance constraints can be determined in accordance with the actual grid conditions of the power grid，providing technical support for the collaborative planning of renewable energy and distribution networks.

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references

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